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Legendi / Legends

Hosted by Легенди / Legends · society · BG

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About this Podcast:

Българският подкаст - The Bulgarian podcast

Pitch Analysis

Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Verified email

Booking probability

36%

Guest openness

Selective

Verified email on file
80/100
Required Score

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Questions about Legendi / Legends

Who hosts Legendi / Legends?

Legendi / Legends is hosted by Легенди / Legends. The show has published 241 episodes to date.

What has Legendi / Legends covered recently?

Recent episodes include "IFBB PRO Радослав Ангелов след топ 10 на Mr. Olympia" (31 October 2026, 50 minutes), "“Здраве” еп.35: Стрес, хормони, минерали. Проф. д-р Милен Богданов, СУ „Св. Климент Охридски“" (17 October 2026, 64 minutes), and "“Здраве” еп.34: Спортна психология. гл. ас. Иван Иванов, НСА "Васил Левски"" (10 October 2026, 83 minutes).

How often does Legendi / Legends publish?

Legendi / Legends publishes roughly every two weeks, with episodes averaging 65 minutes across 241 episodes.

How hard is it to get booked on Legendi / Legends?

Booking probability for Legendi / Legends is 36%, and the host is rated Selective on guests. Legendi / Legends requires a Pod Score of 80 or higher. Legendi / Legends's contact route on record: verified email.

About the host

Легенди / Legends hosts Legendi / Legends, a society podcast with 241 episodes published.

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Recent episodes

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Recent guests

Recent guests on Legendi / Legends. Study who booked and why before you pitch.

E

Elie Pieprz

Director of International Affairs, Israel Defense and Security Forum

J

Jonathan Jakubowski

former chairman, Wood County Republican Party

М

Мартин Петков

Академия Антон Петров

п

проф. Снежина Михайлова

УМБАЛ “Александровска”

Best industries to pitch Legendi / Legends for

Based on semantic analysis of episode topics and host coverage, this podcast is a strong guest fit for executives in:

societystrong

Industry fit is computed by PitchCentric using vector embeddings of the podcast's episode catalog.

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